M
Maria Eugènia Gras
Researcher at University of Girona
Publications - 33
Citations - 693
Maria Eugènia Gras is an academic researcher from University of Girona. The author has contributed to research in topics: Poison control & Cannabis. The author has an hindex of 13, co-authored 31 publications receiving 535 citations.
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Journal ArticleDOI
An observational study of driving distractions on urban roads in Spain.
TL;DR: Logistic regression showed that younger drivers, and to a lesser extent middle-age drivers, were significantly more likely to be observed engaged in a technological distraction than older drivers, whereas non-technological distractions were significantly predicted by day of the week, time of the day and location.
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The Connor-Davidson Resilience Scale (CD-RISC) amongst Young Spanish Adults
Maria Eugènia Gras,Sílvia Font-Mayolas,Alícia Baltasar,Josefina Patiño,Mark J.M. Sullman,Montserrat Planes +5 more
TL;DR: In this paper, the authors investigated the factor structure of the Connor-Davidson Resilience Scale (CD-RISC) for both the 22-item and 10-item versions of the scale.
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Burnout and quality of life among Spanish healthcare personnel
Rosa Suñer-Soler,Armand Grau-Martín,Sílvia Font-Mayolas,Maria Eugènia Gras,Carme Bertran,Mark J.M. Sullman +5 more
TL;DR: The results showed that health-related quality of life reported by this sample of healthcare personnel was lower than the reference population values, especially in those SF-36 dimensions that comprise the mental component.
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Smoking Cessation 1 Year Poststroke and Damage to the Insular Cortex
Rosa Suñer-Soler,Armando Grau,Maria Eugènia Gras,Sílvia Font-Mayolas,Yolanda Silva,Antonio Dávalos,Verónica Cruz,Joana Rodrigo,Joaquín Serena +8 more
TL;DR: The results show that the variables best predicting smoking cessation in patients with a stroke diagnosis 1 year after hospital discharge are insular damage and the prestroke intention to stop.
Journal ArticleDOI
Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction
TL;DR: In this paper, the authors investigated the proportion of drivers that engage in a wide range of observable and unobservable driving distractions, along with a number of variables associated with driver distraction.